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Showing 101 - 120 results of 188 for search '(( library based process optimization algorithm ) OR ( binary base model optimization algorithm ))', query time: 0.54s Refine Results
  1. 101
    FEP Augmentation as a Means to Solve Data Paucity Problems for Machine Learning in Chemical Biology

    FEP Augmentation as a Means to Solve Data Paucity Problems for Machine Learning in Chemical Biology by Pieter B. Burger (4172578)

    Published 2024
    “…Ultimately, the study advocates for the synergy of physics-based methods and ML to expedite the lead optimization process. …”
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  2. 102
    FEP Augmentation as a Means to Solve Data Paucity Problems for Machine Learning in Chemical Biology

    FEP Augmentation as a Means to Solve Data Paucity Problems for Machine Learning in Chemical Biology by Pieter B. Burger (4172578)

    Published 2024
    “…Ultimately, the study advocates for the synergy of physics-based methods and ML to expedite the lead optimization process. …”
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  3. 103
    FEP Augmentation as a Means to Solve Data Paucity Problems for Machine Learning in Chemical Biology

    FEP Augmentation as a Means to Solve Data Paucity Problems for Machine Learning in Chemical Biology by Pieter B. Burger (4172578)

    Published 2024
    “…Ultimately, the study advocates for the synergy of physics-based methods and ML to expedite the lead optimization process. …”
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  4. 104
    FEP Augmentation as a Means to Solve Data Paucity Problems for Machine Learning in Chemical Biology

    FEP Augmentation as a Means to Solve Data Paucity Problems for Machine Learning in Chemical Biology by Pieter B. Burger (4172578)

    Published 2024
    “…Ultimately, the study advocates for the synergy of physics-based methods and ML to expedite the lead optimization process. …”
    Save to List
    Saved in:
  5. 105
    FEP Augmentation as a Means to Solve Data Paucity Problems for Machine Learning in Chemical Biology

    FEP Augmentation as a Means to Solve Data Paucity Problems for Machine Learning in Chemical Biology by Pieter B. Burger (4172578)

    Published 2024
    “…Ultimately, the study advocates for the synergy of physics-based methods and ML to expedite the lead optimization process. …”
    Save to List
    Saved in:
  6. 106
    FEP Augmentation as a Means to Solve Data Paucity Problems for Machine Learning in Chemical Biology

    FEP Augmentation as a Means to Solve Data Paucity Problems for Machine Learning in Chemical Biology by Pieter B. Burger (4172578)

    Published 2024
    “…Ultimately, the study advocates for the synergy of physics-based methods and ML to expedite the lead optimization process. …”
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  7. 107
    Random forest model performs better than support vector machine algorithms and when it primarily uses spontaneous photopic ERG of 60-s duration in humans.

    Random forest model performs better than support vector machine algorithms and when it primarily uses spontaneous photopic ERG of 60-s duration in humans. by Ramsés Noguez Imm (6658637)

    Published 2023
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  8. 108
    Design and implementation of the Multiple Criteria Decision Making (MCDM) algorithm for predicting the severity of COVID-19.

    Design and implementation of the Multiple Criteria Decision Making (MCDM) algorithm for predicting the severity of COVID-19. by Jiaqing Luo (10975030)

    Published 2021
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  9. 109
    Summary of existing CNN models.

    Summary of existing CNN models. by Nicodemus Songose Awarayi (18414494)

    Published 2024
    “…The model further showed superior results on binary classification compared with existing methods. …”
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  10. 110
    Testing algorithm for modified 2-tiered approaches to Lyme disease diagnosis.

    Testing algorithm for modified 2-tiered approaches to Lyme disease diagnosis. by Richard Porwancher (11413931)

    Published 2021
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  11. 111
    A simple HFS instance.

    A simple HFS instance. by Xiang Tian (4369285)

    Published 2025
    “…In recent years, due to the advantages of nonlinear access and fully parallel processing, the probe machine has shown powerful computing capabilities and promising applications in solving various combinatorial optimization problems. …”
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  12. 112
    The scheduling Gantt chart.

    The scheduling Gantt chart. by Xiang Tian (4369285)

    Published 2025
    “…In recent years, due to the advantages of nonlinear access and fully parallel processing, the probe machine has shown powerful computing capabilities and promising applications in solving various combinatorial optimization problems. …”
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  13. 113
    Structure and computational framework of IPMMPO.

    Structure and computational framework of IPMMPO. by Xiang Tian (4369285)

    Published 2025
    “…In recent years, due to the advantages of nonlinear access and fully parallel processing, the probe machine has shown powerful computing capabilities and promising applications in solving various combinatorial optimization problems. …”
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  14. 114
    Data types contained in and .

    Data types contained in and . by Xiang Tian (4369285)

    Published 2025
    “…In recent years, due to the advantages of nonlinear access and fully parallel processing, the probe machine has shown powerful computing capabilities and promising applications in solving various combinatorial optimization problems. …”
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  15. 115
    Data construction of the first and last rows in .

    Data construction of the first and last rows in . by Xiang Tian (4369285)

    Published 2025
    “…In recent years, due to the advantages of nonlinear access and fully parallel processing, the probe machine has shown powerful computing capabilities and promising applications in solving various combinatorial optimization problems. …”
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  16. 116
    Schematic diagram of PM model.

    Schematic diagram of PM model. by Xiang Tian (4369285)

    Published 2025
    “…In recent years, due to the advantages of nonlinear access and fully parallel processing, the probe machine has shown powerful computing capabilities and promising applications in solving various combinatorial optimization problems. …”
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  17. 117
    Schematic diagram of the atomic function .

    Schematic diagram of the atomic function . by Xiang Tian (4369285)

    Published 2025
    “…In recent years, due to the advantages of nonlinear access and fully parallel processing, the probe machine has shown powerful computing capabilities and promising applications in solving various combinatorial optimization problems. …”
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  18. 118
    Multiple comparison of means - Tukey HSD.

    Multiple comparison of means - Tukey HSD. by Xiang Tian (4369285)

    Published 2025
    “…In recent years, due to the advantages of nonlinear access and fully parallel processing, the probe machine has shown powerful computing capabilities and promising applications in solving various combinatorial optimization problems. …”
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  19. 119
    Schematic diagram of the cut-and-mark operation.

    Schematic diagram of the cut-and-mark operation. by Xiang Tian (4369285)

    Published 2025
    “…In recent years, due to the advantages of nonlinear access and fully parallel processing, the probe machine has shown powerful computing capabilities and promising applications in solving various combinatorial optimization problems. …”
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  20. 120
    Layout of hybrid flow shop scheduling.

    Layout of hybrid flow shop scheduling. by Xiang Tian (4369285)

    Published 2025
    “…In recent years, due to the advantages of nonlinear access and fully parallel processing, the probe machine has shown powerful computing capabilities and promising applications in solving various combinatorial optimization problems. …”
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